What is Few-Shot Learning

What is Few-Shot Learning by Edureka explains the concept of Few-Shot Learning (FSL) in machine learning, where models are trained to recognize patterns with minimal data. It covers key techniques, applications, and how FSL differs from traditional deep learning approaches. The article highlights its significance in NLP, computer vision, and AI-driven automation. If you're exploring What is Few-Shot Learning, this guide provides a solid foundation for understanding its potential and real-world impact.